{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "0iS9BMA_Tjp_"
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from IPython.display import Image\n",
    "from pydotplus import graph_from_dot_data\n",
    "from sklearn.datasets import load_boston\n",
    "from sklearn.tree import DecisionTreeRegressor, plot_tree, export_graphviz\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.model_selection import train_test_split, RandomizedSearchCV, cross_val_score, GridSearchCV\n",
    "from sklearn.metrics import mean_squared_error, r2_score\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.pipeline import make_pipeline\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "1lZwyvIxf91H"
   },
   "source": [
    "Загрузим датасет с жильем Бостона и применим все преобразования, которые делали в предыдущей домашней работе, которые дали максимальный результат в линейной регрессии"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 226
    },
    "id": "nv3BIxR4TqpR",
    "outputId": "00022e33-76bb-4cea-f6ba-221b1c307eb6"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CRIM</th>\n",
       "      <th>ZN</th>\n",
       "      <th>INDUS</th>\n",
       "      <th>CHAS</th>\n",
       "      <th>NOX</th>\n",
       "      <th>RM</th>\n",
       "      <th>AGE</th>\n",
       "      <th>DIS</th>\n",
       "      <th>RAD</th>\n",
       "      <th>TAX</th>\n",
       "      <th>PTRATIO</th>\n",
       "      <th>B</th>\n",
       "      <th>LSTAT</th>\n",
       "      <th>PRICE</th>\n",
       "      <th>CHAS*NOX</th>\n",
       "      <th>CHAS^2</th>\n",
       "      <th>NOX^2</th>\n",
       "      <th>NOX*RM</th>\n",
       "      <th>NOX*DIS</th>\n",
       "      <th>NOX*PTRATIO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.00632</td>\n",
       "      <td>18.0</td>\n",
       "      <td>2.31</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.538</td>\n",
       "      <td>6.575</td>\n",
       "      <td>65.2</td>\n",
       "      <td>4.0900</td>\n",
       "      <td>1.0</td>\n",
       "      <td>296.0</td>\n",
       "      <td>15.3</td>\n",
       "      <td>396.90</td>\n",
       "      <td>4.98</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.289444</td>\n",
       "      <td>3.537350</td>\n",
       "      <td>2.200420</td>\n",
       "      <td>8.2314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.02731</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>6.421</td>\n",
       "      <td>78.9</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>2.0</td>\n",
       "      <td>242.0</td>\n",
       "      <td>17.8</td>\n",
       "      <td>396.90</td>\n",
       "      <td>9.14</td>\n",
       "      <td>21.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.219961</td>\n",
       "      <td>3.011449</td>\n",
       "      <td>2.329570</td>\n",
       "      <td>8.3482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.02729</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>7.185</td>\n",
       "      <td>61.1</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>2.0</td>\n",
       "      <td>242.0</td>\n",
       "      <td>17.8</td>\n",
       "      <td>392.83</td>\n",
       "      <td>4.03</td>\n",
       "      <td>34.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.219961</td>\n",
       "      <td>3.369765</td>\n",
       "      <td>2.329570</td>\n",
       "      <td>8.3482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.03237</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>6.998</td>\n",
       "      <td>45.8</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3.0</td>\n",
       "      <td>222.0</td>\n",
       "      <td>18.7</td>\n",
       "      <td>394.63</td>\n",
       "      <td>2.94</td>\n",
       "      <td>33.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.209764</td>\n",
       "      <td>3.205084</td>\n",
       "      <td>2.776488</td>\n",
       "      <td>8.5646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.06905</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>7.147</td>\n",
       "      <td>54.2</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3.0</td>\n",
       "      <td>222.0</td>\n",
       "      <td>18.7</td>\n",
       "      <td>396.90</td>\n",
       "      <td>5.33</td>\n",
       "      <td>36.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.209764</td>\n",
       "      <td>3.273326</td>\n",
       "      <td>2.776488</td>\n",
       "      <td>8.5646</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      CRIM    ZN  INDUS  CHAS    NOX     RM   AGE     DIS  RAD    TAX  \\\n",
       "0  0.00632  18.0   2.31   0.0  0.538  6.575  65.2  4.0900  1.0  296.0   \n",
       "1  0.02731   0.0   7.07   0.0  0.469  6.421  78.9  4.9671  2.0  242.0   \n",
       "2  0.02729   0.0   7.07   0.0  0.469  7.185  61.1  4.9671  2.0  242.0   \n",
       "3  0.03237   0.0   2.18   0.0  0.458  6.998  45.8  6.0622  3.0  222.0   \n",
       "4  0.06905   0.0   2.18   0.0  0.458  7.147  54.2  6.0622  3.0  222.0   \n",
       "\n",
       "   PTRATIO       B  LSTAT  PRICE  CHAS*NOX  CHAS^2     NOX^2    NOX*RM  \\\n",
       "0     15.3  396.90   4.98   24.0       0.0     0.0  0.289444  3.537350   \n",
       "1     17.8  396.90   9.14   21.6       0.0     0.0  0.219961  3.011449   \n",
       "2     17.8  392.83   4.03   34.7       0.0     0.0  0.219961  3.369765   \n",
       "3     18.7  394.63   2.94   33.4       0.0     0.0  0.209764  3.205084   \n",
       "4     18.7  396.90   5.33   36.2       0.0     0.0  0.209764  3.273326   \n",
       "\n",
       "    NOX*DIS  NOX*PTRATIO  \n",
       "0  2.200420       8.2314  \n",
       "1  2.329570       8.3482  \n",
       "2  2.329570       8.3482  \n",
       "3  2.776488       8.5646  \n",
       "4  2.776488       8.5646  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "boston = load_boston()\n",
    "X, y = boston.data, boston.target\n",
    "df_boston = pd.DataFrame(boston.data, columns=boston.feature_names)\n",
    "df_boston['PRICE'] = y\n",
    "df_boston = df_boston[df_boston['CRIM'] <= 9]\n",
    "df_boston.loc[df_boston.ZN > 20, 'ZN'] = df_boston.ZN.median()\n",
    "df_boston[df_boston.AGE < 30] = df_boston.AGE.median()\n",
    "df_boston['CHAS*NOX'] = df_boston['CHAS'] * df_boston['NOX']\n",
    "df_boston['CHAS^2'] = df_boston['CHAS'] ** 2\n",
    "df_boston['NOX^2'] = df_boston['NOX'] ** 2\n",
    "df_boston['NOX*RM'] = df_boston['NOX'] * df_boston['RM']\n",
    "df_boston['NOX*DIS'] = df_boston['NOX'] * df_boston['DIS']\n",
    "df_boston['NOX*PTRATIO'] = df_boston['NOX'] * df_boston['PTRATIO']\n",
    "df_boston[:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "PUFU-KXrhw-e"
   },
   "source": [
    "Повторим результаты линейной регрессии без полинома"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Qgs5yi6zhcIm",
    "outputId": "1638723d-d619-4d60-ca65-bf80a525a7f4"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE: 3.4888525227678504\n",
      "R2: 0.9684279485255246\n"
     ]
    }
   ],
   "source": [
    "linear_regressor_pipe = make_pipeline(StandardScaler(), LinearRegression())\n",
    "X_train, X_test, y_train, y_test = train_test_split(df_boston[df_boston.columns.drop('PRICE')],\n",
    "                                                    df_boston['PRICE'], test_size=0.3,\n",
    "                                                    random_state=42)\n",
    "linear_regressor_pipe.fit(X_train, y_train)\n",
    "y_predict = linear_regressor_pipe.predict(X_test)\n",
    "rmse = np.sqrt(mean_squared_error(y_test, y_predict))\n",
    "r2 = r2_score(y_test, y_predict)\n",
    "print('RMSE:', rmse)\n",
    "print('R2:', r2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "r-V39miog2UX"
   },
   "source": [
    "Теперь попробуем предсказать цену с помощью регрессора дерева принятия решений"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "suLKxVsGg9qo",
    "outputId": "851f09ad-e001-49e4-9b37-99e677f4d6a0"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE: 4.002641173479876\n",
      "R2: 0.9584442719424826\n"
     ]
    }
   ],
   "source": [
    "tree_regressor_pipe = make_pipeline(StandardScaler(), DecisionTreeRegressor(random_state=42))\n",
    "X_train, X_test, y_train, y_test = train_test_split(df_boston[df_boston.columns.drop('PRICE')],\n",
    "                                                    df_boston['PRICE'], test_size=0.3,\n",
    "                                                    random_state=42)\n",
    "tree_regressor_pipe.fit(X_train, y_train)\n",
    "y_predict = tree_regressor_pipe.predict(X_test)\n",
    "rmse = np.sqrt(mean_squared_error(y_test, y_predict))\n",
    "r2 = r2_score(y_test, y_predict)\n",
    "print('RMSE:', rmse)\n",
    "print('R2:', r2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "A4yTXQfGh6Dn"
   },
   "source": [
    "Результат получился немного хуже, попробуем найти оптимальные параметры с помощью RandomizedSearchCV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "q_d7Ie0vbBCZ"
   },
   "outputs": [],
   "source": [
    "tree_regressor_pipe = make_pipeline(StandardScaler(), DecisionTreeRegressor())\n",
    "X_train, X_test, y_train, y_test = train_test_split(df_boston[df_boston.columns.drop('PRICE')],\n",
    "                                                    df_boston['PRICE'], test_size=0.3,\n",
    "                                                    random_state=42)\n",
    "params = {\n",
    "    'decisiontreeregressor__criterion': [\"mse\", \"friedman_mse\", \"mae\"],\n",
    "    'decisiontreeregressor__splitter': [\"best\", \"random\"],\n",
    "    'decisiontreeregressor__max_depth': np.linspace(1, 25, 14),\n",
    "    'decisiontreeregressor__min_samples_split': np.linspace(0.1, 1, 20),\n",
    "    'decisiontreeregressor__random_state': [42]\n",
    "}\n",
    "gs = GridSearchCV(estimator=tree_regressor_pipe, param_grid=params, cv=10, scoring='r2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "id": "1K24IiOlfJ5a"
   },
   "outputs": [],
   "source": [
    "#score = cross_val_score(gs, X_train, y_train, cv=10, scoring='r2')\n",
    "#print('Точность перекрестной проверки:', round(score.mean(), 5), '+-', round(score.std(), 5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "BDFih2Blgyfr",
    "outputId": "34ea1a89-1d16-4841-e586-1be81243be48"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=10,\n",
       "             estimator=Pipeline(steps=[('standardscaler', StandardScaler()),\n",
       "                                       ('decisiontreeregressor',\n",
       "                                        DecisionTreeRegressor())]),\n",
       "             param_grid={'decisiontreeregressor__criterion': ['mse',\n",
       "                                                              'friedman_mse',\n",
       "                                                              'mae'],\n",
       "                         'decisiontreeregressor__max_depth': array([ 1.        ,  2.84615385,  4.69230769,  6.53846154,  8.38461538,\n",
       "       10.23076923, 12.07692308, 13.92307692, 15.76923077, 17.6...\n",
       "                         'decisiontreeregressor__min_samples_split': array([0.1       , 0.14736842, 0.19473684, 0.24210526, 0.28947368,\n",
       "       0.33684211, 0.38421053, 0.43157895, 0.47894737, 0.52631579,\n",
       "       0.57368421, 0.62105263, 0.66842105, 0.71578947, 0.76315789,\n",
       "       0.81052632, 0.85789474, 0.90526316, 0.95263158, 1.        ]),\n",
       "                         'decisiontreeregressor__random_state': [42],\n",
       "                         'decisiontreeregressor__splitter': ['best', 'random']},\n",
       "             scoring='r2')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gs.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "PiCgNr1TbgUh",
    "outputId": "31f4f2fa-824b-42b0-85cf-802ffa8ef9e2"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'decisiontreeregressor__criterion': 'mse',\n",
       " 'decisiontreeregressor__max_depth': 13.923076923076923,\n",
       " 'decisiontreeregressor__min_samples_split': 0.1,\n",
       " 'decisiontreeregressor__random_state': 42,\n",
       " 'decisiontreeregressor__splitter': 'random'}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gs.best_params_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "yvksb7zlohjh",
    "outputId": "c3cd8d65-03fd-48be-ac8e-2934de4e34dd"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9354877309850386"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gs.best_score_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "xpRmIvavlnXM"
   },
   "source": [
    "Параметры из GridSearchCV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "yzpz3aiUTu4d",
    "outputId": "d699a519-297b-40d7-f791-3b8abcc25e23"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE: 4.289964938322814\n",
      "R2: 0.9522641056002576\n"
     ]
    }
   ],
   "source": [
    "tree_regressor_pipe = make_pipeline(StandardScaler(), DecisionTreeRegressor(random_state=42,\n",
    "                                                                        criterion='mse',\n",
    "                                                                        max_depth=14,\n",
    "                                                                        min_samples_split=0.1,\n",
    "                                                                        splitter='random'))\n",
    "tree_regressor_pipe.fit(X_train, y_train)\n",
    "y_predict = tree_regressor_pipe.predict(X_test)\n",
    "rmse = np.sqrt(mean_squared_error(y_test, y_predict))\n",
    "r2 = r2_score(y_test, y_predict)\n",
    "print('RMSE:', rmse)\n",
    "print('R2:', r2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "6-RPk8kkrMSZ"
   },
   "source": [
    "Ручной подбор параметров "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "mswq1w2IjYer",
    "outputId": "892b3f94-7cdc-49f6-f741-fc3d1b874b4f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE: 3.3090441602063017\n",
      "R2: 0.9715984066725999\n"
     ]
    }
   ],
   "source": [
    "tree_regressor_pipe = make_pipeline(StandardScaler(), DecisionTreeRegressor(random_state=42,\n",
    "                                                                        criterion='friedman_mse',\n",
    "                                                                        max_depth=5,\n",
    "                                                                        min_samples_split=0.2,\n",
    "                                                                        splitter='best'))\n",
    "tree_regressor_pipe.fit(X_train, y_train)\n",
    "y_predict = tree_regressor_pipe.predict(X_test)\n",
    "rmse = np.sqrt(mean_squared_error(y_test, y_predict))\n",
    "r2 = r2_score(y_test, y_predict)\n",
    "print('RMSE:', rmse)\n",
    "print('R2:', r2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ncoRkdZoll89"
   },
   "source": [
    "В результате мы смогли улучшить модель регрессии дерева принятия решений с\n",
    "\n",
    "    RMSE: 3.961959264318755\n",
    "    R2: 0.9592847045570779\n",
    "\n",
    "до\n",
    "\n",
    "    RMSE: 3.309044160206302\n",
    "    R2: 0.9715984066725999\n",
    "\n",
    "При этом качество модели получилось выше, чем у нашей линейной регресии с метриками\n",
    "\n",
    "    RMSE: 3.4888525227729703\n",
    "    R2: 0.9684279485254319"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "lNVlHqC9nmjf",
    "outputId": "06fb3e96-5e97-4c37-e51b-b1473f082ea0"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dot_data = export_graphviz(tree_regressor_pipe._final_estimator, filled=True, rounded=True, feature_names=X_test.columns, out_file=None)\n",
    "graph = graph_from_dot_data(dot_data)\n",
    "graph.write_png('tree.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 719
    },
    "id": "JLUe8qOaopV9",
    "outputId": "ed0df6c2-a6d9-4cdd-f59a-14d64a673f89"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename='tree.png') "
   ]
  }
 ],
 "metadata": {
  "colab": {
   "collapsed_sections": [],
   "name": "tree_decision_dz_report.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
